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wlad13 [49]
4 years ago
7

Help again please ..

Mathematics
1 answer:
Aliun [14]4 years ago
4 0
The zeros or roots here are 0 and 7 so the answer is D.  Explanation is same as last one so I didn't type it all out, but go about solving it and all of these the same way.  

Thanks! Hope this helps!
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3 • 4/12 to the simplest form
beks73 [17]
9 because you would turn 4 12 in simplest form the times it by 3

3 0
3 years ago
What are the solutions of the equation
Sever21 [200]

B should be correct.

6 0
4 years ago
Question :
Darya [45]

Answer:

1156

Step-by-step explanation:

We know that,

( a + b ) ² =  a² + 2ab + b²

We can follow the same method to find the value of this.

12² + 22²

( 12 + 22 ) ²

12² + 2 × 12 × 22 + 22²

144 + 24 × 22 + 484

144 + 528 + 484

672 + 484

<u>1156</u>

Let me know if you have any other questions. :)

6 0
3 years ago
What is the value of z for the parallelogram shown? <br><br> A.130 <br> B.40<br> C.10<br> D.26
galben [10]
Z=10 because the opposite side is 50 degrees so the 5z=50

If you solve, z=10
7 0
4 years ago
Read 2 more answers
The average gasoline price of one of the major oil companies in Europe has been $1.25 per liter. Recently, the company has under
Ann [662]

Answer:

t=\frac{1.20-1.25}{\frac{0.14}{\sqrt{49}}}=-2.50    

Step-by-step explanation:

Data given and notation  

\bar X=1.20 represent the sample mean given

\sigma = 0.14 represent the population standard deviation

n=49 sample size  

\mu_o =1.25 represent the value that we want to test

t would represent the statistic (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean for the gasoline prices is lower than 1.25, the system of hypothesis would be:  

Null hypothesis:\mu \geq 1.25  

Alternative hypothesis:\mu < 1.25  

If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{1.20-1.25}{\frac{0.14}{\sqrt{49}}}=-2.50    

5 0
3 years ago
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